` # Merge Request: PunimTag Web Application - Major Feature Release

## Overview

This merge request contains a comprehensive set of changes that transform PunimTag from a desktop GUI application into a modern web-based photo management system with advanced facial recognition capabilities. The changes span from September 2025 to January 2026 and include migration to DeepFace, PostgreSQL support, web frontend implementation, and extensive feature additions.

## Summary Statistics

- **Total Commits**: 200+ commits
- **Files Changed**: 226 files
- **Lines Added**: ~71,189 insertions
- **Lines Removed**: ~1,670 deletions
- **Net Change**: +69,519 lines
- **Date Range**: September 19, 2025 - January 6, 2026


## Key Changes

### 1. Architecture Migration

#### Desktop to Web Migration
- **Removed**: Complete desktop GUI application (Tkinter-based)
  - Archive folder with 22+ desktop GUI files removed
  - Old photo_tagger.py desktop application removed
  - All desktop-specific components archived
- **Added**: Modern web application architecture
  - FastAPI backend with RESTful API
  - React-based admin frontend
  - Next.js-based viewer frontend
  - Monorepo structure for unified development

#### Database Migration
- **From**: SQLite database
- **To**: PostgreSQL database
  - Dual database architecture (main + auth databases)
  - Comprehensive migration scripts
  - Database architecture review documentation
  - Enhanced data validation and type safety

### 2. Face Recognition Engine Upgrade

#### DeepFace Integration
- **Replaced**: face_recognition library
- **New**: DeepFace with ArcFace model
  - 512-dimensional embeddings (4x more detailed)
  - Multiple detector options (RetinaFace, MTCNN, OpenCV, SSD)
  - Multiple recognition models (ArcFace, Facenet, Facenet512, VGG-Face)
  - Improved accuracy and performance
  - Pose detection using RetinaFace
  - Face quality scoring and filtering

#### Face Processing Enhancements
- EXIF orientation handling`    
- Face width detection for profile classification
- Landmarks column for pose detection
- Quality filtering in identification process
- Batch similarity endpoint for efficient face comparison
- Unique faces filter to hide duplicates
- Confidence calibration for realistic match probabilities

### 3. Backend API Development

#### Core API Endpoints
- **Authentication & Authorization**
  - JWT-based authentication
  - Role-based access control (RBAC)
  - User management API
  - Password change functionality
  - Session management

- **Photo Management**
  - Photo upload and import
  - Photo search with advanced filters
  - Photo tagging and organization
  - Bulk operations (delete, tag)
  - Favorites functionality
  - Media type support (images and videos)
  - Date validation and EXIF extraction

- **Face Management**
  - Face processing with job queue
  - Face identification workflow
  - Face similarity matching
  - Excluded faces management
  - Face quality filtering
  - Batch processing support

- **People Management**
  - Person creation and identification
  - Person search and filtering
  - Person modification
  - Auto-match functionality
  - Pending identifications workflow
  - Person statistics and counts

- **Tag Management**
  - Tag creation and management
  - Photo-tag linkages
  - Tag filtering and search
  - Bulk tagging operations

- **Video Support**
  - Video upload and processing
  - Video player modal
  - Video metadata extraction
  - Video person identification

- **Job Management**
  - Background job processing with RQ
  - Job status tracking
  - Job cancellation support
  - Progress updates

- **User Management**
  - Admin user management
  - Role and permission management
  - User activity tracking
  - Inactivity timeout

- **Reporting & Moderation**
  - Reported photos management
  - Pending photos review
  - Pending linkages approval
  - Identification statistics

### 4. Frontend Development

#### Admin Frontend (React)
- **Scan Page**: Photo import and processing
  - Native folder picker integration
  - Network path support
  - Progress tracking
  - Job management

- **Search Page**: Advanced photo search
  - Multiple search types (name, date, tags, no_faces, no_tags, processed, unprocessed, favorites)
  - Person autocomplete
  - Date range filters
  - Tag filtering
  - Media type filtering
  - Pagination
  - Session state management

- **Identify Page**: Face identification
  - Unidentified faces display
  - Person creation and matching
  - Quality filtering
  - Date filters
  - Excluded faces management
  - Pagination and navigation
  - Setup area toggle

- **AutoMatch Page**: Automated face matching
  - Auto-start on mount
  - Tolerance configuration
  - Quality criteria
  - Tag filtering
  - Developer mode options

- **Modify Page**: Person modification
  - Face selection and unselection
  - Person information editing
  - Video player modal
  - Search filters

- **Tags Page**: Tag management
  - Tag creation and editing
  - People names integration
  - Sorting and filtering
  - Tag statistics

- **Faces Maintenance Page**: Face management
  - Excluded and identified filters
  - Face quality display
  - Face deletion

- **User Management Pages**
  - User creation and editing
  - Role assignment
  - Permission management
  - Password management
  - User activity tracking

- **Reporting & Moderation Pages**
  - Pending identifications approval
  - Reported photos review
  - Pending photos management
  - Pending linkages approval

- **UI Enhancements**
  - Logo integration
  - Emoji page titles
  - Password visibility toggle
  - Loading progress indicators
  - Confirmation dialogs
  - Responsive design
  - Developer mode features

#### Viewer Frontend (Next.js)
- Photo viewer component with zoom and slideshow
- Photo browsing and navigation
- Tag management interface
- Person identification display
- Favorites functionality

### 5. Infrastructure & DevOps

#### Installation & Setup
- Comprehensive installation script (`install.sh`)
  - Automated system dependency installation
  - PostgreSQL and Redis setup
  - Python virtual environment creation
  - Frontend dependency installation
  - Environment configuration
  - Database initialization

#### Scripts & Utilities
- Database management scripts
  - Table creation and migration
  - Database backup and restore
  - SQLite to PostgreSQL migration
  - Auth database setup

- Development utilities
  - Face detection debugging
  - Pose analysis scripts
  - Database diagnostics
  - Frontend issue diagnosis

#### Deployment
- Docker Compose configuration
- Backend startup scripts
- Worker process management
- Health check endpoints

### 6. Documentation

#### Technical Documentation
- Architecture documentation
- Database architecture review
- API documentation
- Phase completion summaries
- Migration guides

#### User Documentation
- Comprehensive user guide
- Quick start guides
- Feature documentation
- Installation instructions

#### Analysis Documents
- Video support analysis
- Portrait detection plan
- Auto-match automation plan
- Resource requirements
- Performance analysis
- Client deployment questions

### 7. Testing & Quality Assurance

#### Test Suite
- Face recognition tests
- EXIF extraction tests
- API endpoint tests
- Database migration tests
- Integration tests

#### Code Quality
- Type hints throughout codebase
- Comprehensive error handling
- Input validation
- Security best practices
- Code organization and structure

### 8. Cleanup & Maintenance

#### Repository Cleanup
- Removed archived desktop GUI files (22 files)
- Removed demo photos and resources
- Removed uploaded test files
- Updated .gitignore to prevent re-adding unnecessary files
- Removed obsolete migration files

#### Code Refactoring
- Improved database connection management
- Enhanced error handling
- Better code organization
- Improved type safety
- Performance optimizations

## Breaking Changes

1. **Database**: Migration from SQLite to PostgreSQL is required
2. **API**: New RESTful API replaces desktop GUI
3. **Dependencies**: New system requirements (PostgreSQL, Redis, Node.js)
4. **Configuration**: New environment variables and configuration files

## Migration Path

1. **Database Migration**
   - Run PostgreSQL setup script
   - Execute SQLite to PostgreSQL migration script
   - Verify data integrity

2. **Environment Setup**
   - Install system dependencies (PostgreSQL, Redis)
   - Run installation script
   - Configure environment variables
   - Generate Prisma clients

3. **Application Deployment**
   - Start PostgreSQL and Redis services
   - Run database migrations
   - Start backend API
   - Start frontend applications

## Testing Checklist

- [x] Database migration scripts tested
- [x] API endpoints functional
- [x] Face recognition accuracy verified
- [x] Frontend components working
- [x] Authentication and authorization tested
- [x] Job processing verified
- [x] Video support tested
- [x] Search functionality validated
- [x] Tag management verified
- [x] User management tested

## Known Issues & Limitations

1. **Performance**: Large photo collections may require optimization
2. **Memory**: DeepFace models require significant memory
3. **Network**: Network path support may vary by OS
4. **Browser**: Some features require modern browsers

## Future Enhancements

- Enhanced video processing
- Advanced analytics and reporting
- Mobile app support
- Cloud storage integration
- Advanced AI features
- Performance optimizations

## Contributors

- Tanya (tatiana.romlit@gmail.com) - Primary developer
- tanyar09 - Initial development

## Related Documentation

- `README.md` - Main project documentation
- `docs/ARCHITECTURE.md` - System architecture
- `docs/DATABASE_ARCHITECTURE_REVIEW.md` - Database design
- `docs/USER_GUIDE.md` - User documentation
- `MONOREPO_MIGRATION.md` - Migration details

## Approval Checklist

- [ ] Code review completed
- [ ] Tests passing
- [ ] Documentation updated
- [ ] Migration scripts tested
- [ ] Performance validated
- [ ] Security review completed
- [ ] Deployment plan reviewed

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**Merge Request Created**: January 6, 2026  
**Base Branch**: `origin/master`  
**Target Branch**: `master`  
**Status**: Ready for Review

